Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Zeiler, Steffen"'
Publikováno v:
The IEEE 23rd International Workshop on Multimedia Signal Processing (MMSP), 2021
Audio-visual speech recognition (AVSR) can effectively and significantly improve the recognition rates of small-vocabulary systems, compared to their audio-only counterparts. For large-vocabulary systems, however, there are still many difficulties, s
Externí odkaz:
http://arxiv.org/abs/2109.04894
Publikováno v:
Published in International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021
End-to-end acoustic speech recognition has quickly gained widespread popularity and shows promising results in many studies. Specifically the joint transformer/CTC model provides very good performance in many tasks. However, under noisy and distorted
Externí odkaz:
http://arxiv.org/abs/2104.09482
The detection of voiced speech, the estimation of the fundamental frequency, and the tracking of pitch values over time are crucial subtasks for a variety of speech processing techniques. Many different algorithms have been developed for each of the
Externí odkaz:
http://arxiv.org/abs/2103.01173
Publikováno v:
Published in Proceedings of the 28th European Signal Processing Conference (EUSIPCO), 2020
For many small- and medium-vocabulary tasks, audio-visual speech recognition can significantly improve the recognition rates compared to audio-only systems. However, there is still an ongoing debate regarding the best combination strategy for multi-m
Externí odkaz:
http://arxiv.org/abs/2007.14223
Traditional computational authorship attribution describes a classification task in a closed-set scenario. Given a finite set of candidate authors and corresponding labeled texts, the objective is to determine which of the authors has written another
Externí odkaz:
http://arxiv.org/abs/2005.13930
Authorship verification tries to answer the question if two documents with unknown authors were written by the same author or not. A range of successful technical approaches has been proposed for this task, many of which are based on traditional ling
Externí odkaz:
http://arxiv.org/abs/1908.07844
Automatic speech recognition (ASR) systems can be fooled via targeted adversarial examples, which induce the ASR to produce arbitrary transcriptions in response to altered audio signals. However, state-of-the-art adversarial examples typically have t
Externí odkaz:
http://arxiv.org/abs/1908.01551
Voice interfaces are becoming accepted widely as input methods for a diverse set of devices. This development is driven by rapid improvements in automatic speech recognition (ASR), which now performs on par with human listening in many tasks. These i
Externí odkaz:
http://arxiv.org/abs/1808.05665
Autor:
Yu, Wentao1 (AUTHOR) steffen.zeiler@rub.de, Zeiler, Steffen1 (AUTHOR), Kolossa, Dorothea1 (AUTHOR)
Publikováno v:
Sensors (14248220). Aug2022, Vol. 22 Issue 15, p5501-N.PAG. 20p.
Autor:
Astudillo, Ramón Fernandez, Kolossa, Dorothea, Abad, Alberto, Zeiler, Steffen, Saeidi, Rahim, Mowlaee, Pejman, da Silva Neto, João Paulo, Martin, Rainer
Publikováno v:
In Computer Speech & Language May 2013 27(3):837-850